Modes of Collaboration in Modern Science - Beyond Power Laws and Preferential Attachment

Abstract

The goal of the study is to determine the underlying processes leading to the observed collaborator distribution in modern scientific fields, with special attention to non-power law behavior. Nanoscience is used as a case study of a modern interdisciplinary field, and its coauthorship network for 2000-04 period is constructed from NanoBank database. We find three collaboration modes that correspond to three distinct ranges in the distribution of collaborators: (1) for authors with fewer than 20 collaborators (the majority) preferential attachment does not hold and they form a log-normal "hook" instead of a power law, (2) authors with more than 20 collaborators benefit from preferential attachment and form a power law tail, and (3) authors with between 250 and 800 collaborators are more frequent than expected because of the hyperauthorship practices in certain subfields.

Accepted for publication in JASIST

References in corpus (8)

• Emergence of scaling in random networks
• The structure and function of complex networks
• The structure of scientific collaboration networks
• Evolution of networks
• Evolution of the social network of scientific collaborations
• Clustering and preferential attachment in growing networks
• Scaling Behaviour of Developing and Decaying Networks
• Networks in life: Scaling properties and eigenvalue spectra

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